陶鈞，博士，2018年9月起擔任中山大學數據科學與計算機學院副教授，博士生導師，入選中山大學“百人計畫”。其於2015年獲得密西根理工大學計算機科學專業哲學博士學位，2015年至2018年於聖母大學計算機科學與工程系任博士後研究員。其主要研究方向包括：科學可視化，尤其是資訊理論，最佳化方法，和互動探索方法在流場可視化以及多變數時變數據上的套用；對圖像數據集和對時序數據的可視分析和探索；以及軟體可視化在加密算法教育上的套用。成果發表於IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, ACM Transactions on Intelligent System and Technology, ACM Transactions on Big Data, Computer Graphics and Application, Computers and Graphics等國際高水平期刊，以及IEEE Visualization Conference, IEEE Pacific Visualization Symposium, ACM SIGCSE, IEEE IEEE International Conference on Big Data等國際高水平會議上。其中包括過去5年內在可視化領域頂級期刊TVCG (CCF A)上發表文章8篇。
基本介紹
- 中文名：陶鈞
- 畢業院校：美國密西根理工大學
- 學位/學歷：博士
- 專業方向：科學可視化、可視分析、軟體可視化
- 任職院校：中山大學
研究領域,人物經歷,教育背景,工作經歷,代表論著,
研究領域
科學可視化、可視分析、軟體可視化。
人物經歷
教育背景
2008.9-2015.10，美國密西根理工大學，博士
2004.9-2008.7，中山大學，本科
工作經歷
2018.9-至今，中山大學，副教授
2015.10-2018.9，美國聖母大學，博士後研究員
代表論著
Jun Han,Jun Tao, and Chaoli Wang
FlowNet: A Deep Learning Framework for Clustering and Selection of Streamlines and Stream Surfaces
IEEE Transactions on Visualization and Computer Graphics (CCF A), Accepted.
Jia Yan, Lei Shi,Jun Tao, Xiaolong Yu, Zhou Zhuang, Congcong Huang, Rulei Yu, Purui Su, Chaoli Wang, and Yang Chen
Visual Analysis of Collective Anomalies Using Faceted High-Order Correlation Graphs
IEEE Transactions on Visualization and Computer Graphics (CCF A), Accepted.
Jun Han,Jun Tao, Hao Zheng, Hanqi Guo, Danny Z. Chen, and Chaoli Wang
Flow Field Reduction via Reconstructing Vector Data from 3D Streamlines Using Deep Learning
IEEE Computer Graphics and Applications (Special Issue on Visual Computing with Deep Learning), 39(2), Mar/Apr 2019.
Jun Tao, Martin Imre, Chaoli Wang, Nitesh V. Chawla, Hanqi Guo, Gökhan Sever, and Seung Hyun Kim
Exploring Time-Varying Multivariate Volume Data Using Matrix of Isosurface Similarity Maps
IEEE Transactions on Visualization and Computer Graphics (IEEE SciVis 2018) (CCF A), 25(1):1236-1245, Jan 2019.
Jun Tao, Chaoli Wang, Nitesh V. Chawla, Lei Shi, and Seung Hyun Kim
Semantic Flow Graph: A Framework for Discovering Object Relationships in Flow Fields
IEEE Transactions on Visualization and Computer Graphics (CCF A), 24(12):3200-3213, Dec 2018.
Jun Taoand Chaoli Wang
Semi-Automatic Generation of Stream Surfaces via Sketching
IEEE Transactions on Visualization and Computer Graphics (CCF A), 24(9):2622-2635, Sep 2018.
Martin Imre,Jun Tao, and Chaoli Wang
Identifying Nearly Equally Spaced Isosurfaces for Volumetric Data Sets
Computer & Graphics, 72:82-97, May 2018.
Jun Tao, Lei Shi, Zhou Zhuang, Congcong Huang, Rulei Yu, Purui Su, Chaoli Wang, and Yang Chen
Visual Analysis of Collective Anomalies Through High-Order Correlation Graph
Proceedings of IEEE Pacific Visualization Symposium, Kobe, Japan, Apr 2018.
Jun Tao, Jian Xu, Chaoli Wang, and Nitesh V. Chawla
HoNVis: Visualizing and Exploring Higher-Order Networks
Proceedings of IEEE Pacific Visualization Symposium, Seoul, Korea, Apr 2017.
Chao Huang, Dong Wang,Jun Tao, Brain Mann
On Physical-Social-Aware Localness Inference By Exploring Big Data from Location-Based Services
IEEE Transactions on Big Data, Accepted
Jun Taoand Chaoli Wang
A Sketch-Based Interface to Generate Stream Surfaces
Proceedings of ACM SIGGRAPH Asia Symposium on Visualization, Macao, China, pp. 14-1-14-8, Dec 2016.
Chao Huang, Dong Wang,Jun Tao
An Unsupervised Approach to Inferring the Localness of People Using Incomplete Geotemporal Online Check-In Data
ACM Transactions on Intelligent Systems and Technology, 8(6): 80, Sep 2017.
Chaoli Wang andJun Tao
Graphs in Scientific Visualization: A Survey
Computer Graphics Forum (CCF B), 36(1):263-287, Jan 2017.
Jun Tao, Xiaoke Huang, Feng Qiu, Chaoli Wang, Jingfeng Jiang, Ching-Kuang Shene, Ye Zhao, and Daphne Yu
VesselMap: A Web Interface to Explore Multivariate Vascular Data
Computers & Graphics, 59:79-92, Oct 2016.
Jun Tao, Chaoli Wang, Ching-Kuang Shene, and Raymond A. Shaw
A Vocabulary Approach to Partial Streamline Matching and Exploratory Flow Visualization
IEEE Transactions on Visualization and Computer Graphics (CCF A), 22(5):1503-1516, May 2016.
Jun Tao, Chaoli Wang, and Ching-Kuang Shene
FlowString: Partial Streamline Matching Using Shape Invariant Similarity Measure for Exploratory Flow Visualization
Proceedings of IEEE Pacific Visualization Symposium, Yokohama, Japan, pp.9–16, Mar 2014.
Jun Tao, Chaoli Wang, Ching-Kuang Shene, and Seung Hyun Kim
A Deformation Framework for Focus+Context Flow Visualization
IEEE Transactions on Visualization and Computer Graphics (CCF A), 20(1):42–55, Jan 2014.
Jun Tao, Jun Ma, Chaoli Wang, and Ching-Kuang Shene
A Unified Approach to Streamline Selection and Viewpoint Selection for 3D Flow Visualization
IEEE Transactions on Visualization and Computer Graphics (CCF A), 19(3):393–406, Mar 2013.
